Examining the Cross-Lagged Relationships Between RAN and Word Reading in Chinese
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this 4-year longitudinal study was to specify the direction of the relationship between RAN and word reading (accuracy and fluency) in Chinese. This is important in light of arguments that the developmental relationships between RAN and reading can disclose changes in the reading processes underlying reading as development proceeds. One hundred thirty-five Mandarin-speaking Chinese children (65 boys, 70 girls; M age = 96.40 months) were assessed on RAN (digits), word-reading accuracy (Character Recognition), and word-reading fluency (One-Minute Reading). The children were assessed on the same measures when they were in Grades 3, 4, and 5. The results of path analysis indicated that the effects between RAN and word reading were unidirectional and subject to the type of reading outcome: Only RAN predicted word reading and only when word reading was operationalized with a reading fluency measure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it